Forum Discussion
computed entity
Hi,
I am getting data from a dataflow for my dataset. The dataflow that I receive data is huge, millions of records. It really slows down my report if I get it all. I wonder if it is possible to compute the dataflow and get the computed entity for my report.
For example; this is an example for the dataflow:
| Count | Date | type | value |
| a1 | 01.2019 | s | 1 |
| a2 | 01.2019 | m | 2 |
| a3 | 01.2019 | a | 1 |
| q1 | 01.2019 | s | 2 |
| q2 | 01.2019 | a | 1 |
| q3 | 01.2019 | m | 2 |
| w1 | 01.2019 | a | 1 |
| w2 | 01.2019 | a | 2 |
| w3 | 01.2019 | m | 2 |
| e1 | 01.2019 | a | 1 |
| e3 | 01.2019 | m | 2 |
| e4 | 01.2019 | a | 1 |
| e5 | 01.2019 | a | 2 |
| w4 | 01.2019 | m | 1 |
| w5 | 01.2019 | m | 3 |
I want to make a computed entity from this data and use it as a dataflow for my report. It should show:
| Date | type | value | count |
| 01.2019 | s | 3 | 15 |
| 01.2019 | m | 12 | 15 |
| 01.2019 | a | 9 | 15 |
In order to decrease the data size, I want to do it in this way:
Date: I should be able to selected the data for last 18 months.
Type: total of values for eah type category.
Value: total of values in that category
count: count of the count column at the previous table.
Is it possible to do it?
Thanks in advance!
Hi IF ,
After you create a data stream and connect to the data source, transform the table in ‘Edit Query’, please refer to the following code.
let
Source = Excel.Workbook(File.Contents("C:\Users\lionelch\Desktop\Sample data\1.xlsx"), null, true),
Sheet3_Sheet = Source{[Item="Sheet3",Kind="Sheet"]}[Data],
#"Promoted Headers" = Table.PromoteHeaders(Sheet3_Sheet, [PromoteAllScalars=true]),
#"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"Count", type text}, {"Date", type number}, {"type", type text}, {"value", Int64.Type}}),
#"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each Table.RowCount(#"Changed Type")),
#"Changed Type1" = Table.TransformColumnTypes(#"Added Custom",{{"value", Int64.Type}}),
#"Renamed Columns" = Table.RenameColumns(#"Changed Type1",{{"Custom", "__Custom"}}),
#"Grouped Rows" = Table.Group(#"Renamed Columns", {"__Custom", "Date", "type"}, {{"__value", each List.Sum([value]), type nullable number}})
in
#"Grouped Rows"
1 Reply
Hi IF ,
After you create a data stream and connect to the data source, transform the table in ‘Edit Query’, please refer to the following code.
let
Source = Excel.Workbook(File.Contents("C:\Users\lionelch\Desktop\Sample data\1.xlsx"), null, true),
Sheet3_Sheet = Source{[Item="Sheet3",Kind="Sheet"]}[Data],
#"Promoted Headers" = Table.PromoteHeaders(Sheet3_Sheet, [PromoteAllScalars=true]),
#"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"Count", type text}, {"Date", type number}, {"type", type text}, {"value", Int64.Type}}),
#"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each Table.RowCount(#"Changed Type")),
#"Changed Type1" = Table.TransformColumnTypes(#"Added Custom",{{"value", Int64.Type}}),
#"Renamed Columns" = Table.RenameColumns(#"Changed Type1",{{"Custom", "__Custom"}}),
#"Grouped Rows" = Table.Group(#"Renamed Columns", {"__Custom", "Date", "type"}, {{"__value", each List.Sum([value]), type nullable number}})
in
#"Grouped Rows"